TRAINING BELIEVABLE AGENTS IN 3D ELECTRONIC BUSINESS ENVIRONMENTS USING RECURSIVE-ARC GRAPHS

Anton Bogdanovych; Simeon Simoff; Marc Esteva

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Paper

TRAINING BELIEVABLE AGENTS IN 3D ELECTRONIC BUSINESS ENVIRONMENTS USING RECURSIVE-ARC GRAPHS

Topics: Algorithms and Data Structures; Knowledge Representation; Machine Learning; Multi-Agent Systems; Software Components

In Proceedings of the Third International Conference on Software and Data Technologies - Volume 1: ICSOFT, 339-346, 2008 , Porto, Portugal

Authors: Anton Bogdanovych ¹ ; Simeon Simoff ¹ and Marc Esteva ²

Affiliations: ¹ School of Computing and Mathematics, University of Western Sydney, Australia ; ² Artificial Intelligence Research Institute (IIIA-CSIC), Spain

Keyword(s): Autonomous Agents, Virtual Institutions, Implicit Training, Recursive-Arc Graphs.

Related Ontology Subjects/Areas/Topics: Agents ; Algorithms and Data Structures ; Applications and Software Development ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Component-Based Software Engineering ; Computational Intelligence ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Evolutionary Computing ; Knowledge Discovery and Information Retrieval ; Knowledge Engineering and Ontology Development ; Knowledge Representation ; Knowledge-Based Systems ; Machine Learning ; Model-Driven Software Development ; Multi-Agent Systems ; Programming Languages ; Soft Computing ; Software Engineering ; Symbolic Systems

Abstract: Using 3D Virtual Worlds for commercial activities on the Web and the development of human-like sales assistants operating in such environments are ongoing trends of E-Commerce. The majority of the existing approaches oriented towards the development of such assistants are agent-based and are focused on explicit programming of the agents’ decision making apparatus. While effective in some very specific situations, these approaches often restrict agents’ capabilities to adapt to the changes in the environment and learn new behaviors. In this paper we propose an implicit training method that can address the aforementioned drawbacks. In this method we formalize the virtual environment using Electronic Institutions and make the agent use these formalizations for observing a human principle and learning believable behaviors from the human. The training of the agent can be conducted implicitly using the specific data structures called recursive-arc graphs.

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Paper citation in several formats:

Bogdanovych, A.; Simoff, S. and Esteva, M. (2008). TRAINING BELIEVABLE AGENTS IN 3D ELECTRONIC BUSINESS ENVIRONMENTS USING RECURSIVE-ARC GRAPHS. In Proceedings of the Third International Conference on Software and Data Technologies - Volume 1: ICSOFT; ISBN 978-989-8111-51-7; ISSN 2184-2833, SciTePress, pages 339-346. DOI: 10.5220/0001901103390346

@conference{icsoft08,
author={Anton Bogdanovych. and Simeon Simoff. and Marc Esteva.},
title={TRAINING BELIEVABLE AGENTS IN 3D ELECTRONIC BUSINESS ENVIRONMENTS USING RECURSIVE-ARC GRAPHS},
booktitle={Proceedings of the Third International Conference on Software and Data Technologies - Volume 1: ICSOFT},
year={2008},
pages={339-346},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001901103390346},
isbn={978-989-8111-51-7},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the Third International Conference on Software and Data Technologies - Volume 1: ICSOFT
TI - TRAINING BELIEVABLE AGENTS IN 3D ELECTRONIC BUSINESS ENVIRONMENTS USING RECURSIVE-ARC GRAPHS
SN - 978-989-8111-51-7
IS - 2184-2833
AU - Bogdanovych, A.
AU - Simoff, S.
AU - Esteva, M.
PY - 2008
SP - 339
EP - 346
DO - 10.5220/0001901103390346
PB - SciTePress